Ask HN: What are tools you have made for yourself since the advent of AI?

Looking into twitter right now, it seems like the way to do it is with headless browsers, but they usually cost money.

For reddit there used to be the json endpoints that you could just fetch, and you can batch your subreddits, so its nice end easy. They have just killed those...old.reddit still works, but i fear like the days are numbered there as well.

- Day logger quarterly goal management and daily goal tracking system with multiple checkins, voice transcript task dump, jibberish to apple reminders, daily recommendations based on activity and goal tracking and always on dashboard.

- Snubnosed mandarin app. Vibecoded anki and tinder-like character game for mandarin which allows new vocab to be added on the fly. Also accurate text to speech for tones.

- What did I learn? Tweet summarize that takes all favored tweets and assembles into weekly categories and allows deep research on certain topics.

Mostly for myself (stripe isn't actually even hooked up anymore afaik), but a Mandarin language learning app: https://nextword.app .

Deepseek v4 pro does a pretty good job of actually adhering to the word restrictions.

Most language learning content is "slop" anyway -- so might as well generate slop that's at least a little interesting.

- web scraper for events my wife and I would like for date night

- a stateless dashboard for work that collects from 6 other APIs

- a refactor of a huge function with 8-deep indentation into readable small functions

- a road trip game for my kids where you take photos of things from the car

I've got really comfy `just` scripts for generating Clang "intermediaries" in my CMake project. I can generate `.ii` files which get formatted and edited in a manner making them directly recompilable, along with `.ll`, `.bc`, and `.s` files. All the above are per-translation unit or post-LTO and I can constrain the output to specific functions or files, and the LLVM bitcode can take optimization passes or optimization levels to very easily introspect how my work in this codebase optimizes.

I've also got a clang-repl wrapper for this codebase that is very easy to use and makes interactive programming much easier for me.